conversations
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[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm gathering ideas for a future home makeover."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 1, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm trying to find a gift for a board game enthusiast. Any top picks?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any recommendations for educational games for kids?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm thinking of buying some new cookware. What do you suggest?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you recommend some durable earbuds for running?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I like staying updated, what's the latest in home automation?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hey, do you stock any organic pet food?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Pet Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you check if there are any discounts on baby car seats?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a new waterproof mascara, any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Good morning, can you help me find some durable kitchen storage containers on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a new set of earbuds, preferably under $100. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, I need some vitamin C supplements, any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hey there! Could you recommend some moisturizers for sensitive skin?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "My friend mentioned something about a game sale, do you know about it?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Is there a warranty on kitchen appliances bought through Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the newest pet gadgets this year?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Pet Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm thinking about redoing my kitchen storage. Where should I start?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you find a modern artwork for my office wall?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm not sure what I want yet, but I'm thinking about updating my wardrobe."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a good diaper rash cream, can you help?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you help me find a good deal on Amazon for camera accessories?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I've been thinking about switching to organic baby food. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What factors should I consider when buying a new piece of jewelry?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you find me a deal on a high-quality board game?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any eco-friendly home decor to recommend?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you suggest a compact solution for kitchen storage?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any tips on how to choose the right necklace for an evening gown?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you recommend a good pair of ski goggles for my winter trip?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a birthday gift for my mom, something for her kitchen, maybe?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the top-rated sticky notes on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Office Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need some advice on hypoallergenic bedding."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "How do I care for wooden kitchen utensils?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Which is better for camping, a sleeping bag or a sleeping pad?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any water bottles that keep liquids cold for extended periods?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Good morning, can you help me find a new fragrance for daily use?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you find me a budget-friendly leather jacket?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you help me find a gift set of bath bombs?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Good morning, can you help me find a new blender?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a new night cream for dry skin, preferably under $50. Any ideas?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you recommend a good online store for vintage jewelry?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a puzzle that's challenging for adults. Any ideas?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm considering upgrading my road bike. Can you offer some advice?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you recommend some modern wall art from Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help me find a camping stove that's suitable for high altitudes?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any information on the latest gaming consoles?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help me find a stylish table lamp for my study?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are some energy-saving tips for my home?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you help me find a pair of boots suitable for snowy weather?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you suggest a reliable brand for over-the-counter cold medicines?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you tell me more about the age appropriateness of your game products?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I heard about solar chargers for camping. What can you tell me about them?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the most popular pet toys this year?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 1, \"cat\": \"Pet Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you explain how to set up the game 'Ticket to Ride'?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 2, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help me find a good pair of running shoes under $100?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, can you assist me in finding a new cycling helmet?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help find a high-quality blender that's good for smoothies?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you find a doll that can speak multiple languages?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you find me some good options for electronic kits for teenagers on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Looking for a gift in home gadgets, anything new and trending?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, can you help me find some eco-friendly baby wipes?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What's the best kind of activewear for yoga available on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help me find a pet bed that's suitable for an elderly cat?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Pet Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you offer any discounts on bulk purchases of shampoos?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, I'm just browsing for some new kitchen cleaners."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Looking for a durable pair of boots for hiking. Suggestions?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you find me a deal on high-quality makeup brushes?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, I'm looking to upgrade my home theater system. Any suggestions?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What's the return policy for electronic items purchased through Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any LEGO sets on sale?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hey, do you have any suggestions for hypoallergenic laundry detergent?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you suggest a good brand for yoga pants?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can I get a discount if I buy multiple electronic devices?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello! How's your day going?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Are there any upcoming sales on video games?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm just looking around for now, maybe later!"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a new battery pack for my phone. Any suggestions?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any unique coffee mugs?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm searching for unique bookshelves, any suggestions on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hi, could you help me find some hypoallergenic laundry detergent?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you assist me in finding a good pair of running shoes?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm trying to find a luxury watch as a retirement gift. Any high-end brands you recommend?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm looking for the best teething toys for my infant. Any suggestions?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What options do you have for vegan leather bags?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need something for acne treatment. Anything good on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you suggest a good online store for buying traditional children's games?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the current trends in children's fashion?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a quick suggestion for a popular game among teens. Anything come to mind?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm planning to buy some new hair brushes, what are the current user favorites?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Is it necessary to use special laundry detergent for baby clothes?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you help me choose a reliable external hard drive?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Good morning! I need some new office chairs for our remote team."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Office Supplies\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need a new battery pack for my camera. What do you suggest?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "How should I store leather shoes to increase their lifespan?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hi, do you know where I can purchase eco-friendly home decor?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What's the best smartwatch available on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello there, I need some advice on kitchen appliances."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you find me the top reviewed teething rings?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm curious about VR headsets. Can you guide me to some affordable options?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What advancements have been made in solar powered technology for home use?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hey, can you show me some options for water bottles that keep liquids cold for hours?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |